In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within Soft Serve’s AI and Data Science Center of Excellence. You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients

RESPONSIBILITIES

- Define and drive technical standards and architecture for end-to-end ML systems, ensuring scalability, reliability, and alignment with business objectives
- Oversee the design and delivery of production-ready LLMOps pipelines using MLflow, Lang Smith, Langfuse, or Weights & Biases, establishing observability, reproducibility, and quality standards across teams
- Lead collaboration with Data Scientists, Engineers, and clients, translating complex business requirements into robust ML solutions for NLP, RAG systems, and multimodal models
- Advance agentic AI capabilities by architecting and overseeing multi-agent systems using Lang Graph or CrewAI, driving autonomy and real-world problem-solving at production scale
- Establish and continuously improve ML engineering processes, from CI/CD/CT pipeline governance and cloud infrastructure on AWS, Azure, or GCP to monitoring and security best practices
- Mentor and guide ML Engineers, embedding engineering excellence, MLOps best practices, and a culture of continuous learning across the team
- Contribute to technical strategy and thought leadership, supporting client engagements and innovation initiatives within the CoE





REQUIREMENTS

- Strong Python proficiency across the core ML ecosystem, with a proven track record of building and deploying complex ML systems in production
- Deep expertise in LLMOps, Agent Ops, and experiment tracking tools such as MLflow, Langfuse, Lang Smith, and Weights & Biases
- Proven experience architecting and deploying cloud-based AI/ML solutions on AWS, Azure, or GCP, with strong knowledge of CI/CD/CT practices and workflow orchestration tools
- Advanced knowledge of agentic AI frameworks such as Lang Graph or CrewAI, with experience designing multi-agent systems for production environments
- Demonstrated experience leading or mentoring ML Engineering teams, driving technical vision, and establishing engineering best practices
- Strong stakeholder management skills, with the ability to shape ML strategy and communicate complex technical decisions to clients and executive audiences
- Master’s degree in Computer Science or a related field
- Higher proficiency in English, both spoken and written

Soft Serve is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion,



sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

About us

We are a digital engineering and technology consulting company where expertise grows alongsidepeople. For more than 30years, we have been elevating technology: helping organizations navigate complex businesschallenges by combining deepengineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digitalengineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in realbusiness needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meetsclarity, confidence, andpurpose.

Adaptable Work Model

Work from home, from the office, or in a hybrid format that supports focus andcollaboration.

Competitive, market-based pay, benchmarked by role andlocation — plus health coverage, paid time off, wellness support, and learningopportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, andsupport long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.

More opportunities available

Browse all open positions to find the best fit for your experience.

#J-18808-Ljbffr

📌 Lead ML Engineer (Colombia)
🏢 SoftServe
📍 Colombia